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disparities in supportive care medication (SCM) use, using national datasets (e.g., SEER-Medicare, SEER-MHOS), predictive analytics, and stakeholder-engaged methods. The lab is committed to actionable research
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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outside of the department (e.g., Advanced Methods at Purdue , Center for Brain, Behavior, and NeuroRehabilitation , Center for Early Learning ; and Purdue Institute for Integrative Neuroscience ). Position
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or worsening structural and clinical features and identify risk factors for decline among severely affected children with CZS. Dr. Kelleher’s research uses telehealth-based methods to assess early development
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
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period. Required Qualifications A PhD in genetics, evolution, ecology, biology, or allied areas that will have been awarded prior to beginning this position. Highly motivated with a strong work ethic and
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(GC), Gas Chromatography-Mass Spectrometry (GC-MS), Nuclear Magnetic Resonance (NMR), 2D NMR, High-Performance Liquid Chromatography (HPLC), and metabolic profiling. Proficiency in advanced methods
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics